长短程二次运动补偿的视频编码OA

In hybrid video coding frameworks,inter-frame prediction is a crucial component for eliminating temporal re-dundancy and improving coding efficiency.Most existing methods rely solely on the previous frame as a reference.Spe-cifically,motion information between the reference and target frames is extracted via neural networks,encoded and transmitted,and then applied to the reference frame to produce an aligned frame.However,these methods rely on short-term reference frames and thus have limited effectiveness in handling complex scenes such as occlusion and fail to fully utilize high-quality reference frames over longer temporal ranges.Although certain recent approaches attempted to incor-porate long-term reference information,they often adopted simple stacking strategies or loss-driven implicit fusion mechanisms that lack targeted guidance for reference frame utilization.To address the issues,this study proposed a Short-and Long-Term Aware Two-Stage Motion Compensation method for video compression.Specifically,we first es-timated motion information from short-term reference frames to generate initially aligned features,establishing basic temporal correspondence.Then,we extracted prompt features from long-term reference frames and used the recon-structed reference content to guide detail enhancement of the initially aligned features,thereby effectively alleviating oc-clusions and motion artifacts with low bitrate overhead.Furthermore,we proposed an Explicit-Implicit Temporal Refer-ence Buffer,in which short-term reference frames were explicitly modeled to preserve high-fidelity spatial details,and long-term reference frames were implicitly modeled to form a compact temporal representation.This mechanism pro-vided stable contextual support for the secondary motion compensation.Experimental results showed that the proposed method achieved superior rate-distortion performance in terms of peak signal-to-noise ratio and multi-scale structural similarity index measure compared with hybrid coding framework VTM-19.0,latest end-to-end video coding method DCVC-RT,and recent representative multi-reference frame video coding method DCVC-SDD.Ablation studies further verified the effectiveness of the proposed Short-and Long-Term Aware Two-Stage Motion Compensation module and the Explicit-Implicit Temporal Reference Buffer module.